• Journal of Digital Convergence
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• v.20 no.2
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• pp.269-275
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• 2022

As artificial intelligence services targeting humans increase, social demands are increasing that artificial intelligence should also be made on an ethical basis. Following this trend, the government and businesses are preparing policies and norms related to artificial intelligence ethics. In order to establish reasonable policies and norms, the first step is to understand the public's perceptions. In this paper, social data and news comments were collected and analyzed to understand the public's perception related to artificial intelligence and ethics. Interest analysis, emotional analysis, and discourse analysis were performed and visualized on the collected datasets. As a result of the analysis, interest in "artificial intelligence ethics" and "artificial intelligence" favorability showed an inversely proportional correlation. As a result of discourse analysis, the biggest issue was "personal information leakage," and it also showed a discourse on contamination and deflection of learning data and whether computer-made artificial intelligence should be given a legal personality. This study can be used as data to grasp the public's perception when preparing artificial intelligence ethical norms and policies.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.49-55
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• 2023

The evolution of new digital technologies is progressing rapidly. In particular, many changes in software and artificial intelligence are progressing rapidly in the field of education. The Ministry of Education is planning an educational program by linking software and artificial intelligence regular curriculum. Before applying it to regular subjects, various software and artificial intelligence related experience camps are being promoted. This study aims to construct an educational model for software and artificial intelligence education programs for high school students based on new digital technology. By expanding and distributing software and artificial intelligence education, we aim to enhance the basic capabilities of software and artificial intelligence for high school students. I would like to define the concept of software and artificial intelligence in high school and propose a model that links software and artificial intelligence learning factors to the regular curriculum.

• Journal of Internet of Things and Convergence
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• v.9 no.4
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• pp.71-75
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• 2023

Changes in modern society are resulting in the emergence of various service models that apply software and artificial intelligence, and all fields are rapidly changing based on software and artificial intelligence. Education on software and artificial intelligence is emerging as a major influencing factor that determines national competitiveness. Following these social changes, interest in the use of software and artificial intelligence is quite high. Starting in 2025, software and artificial intelligence-related curricula are scheduled to be introduced into public education in elementary, middle, and high schools, so many educational activities are becoming active. In this study, based on the content of operating the software and artificial intelligence experience activity program, we would like to propose the efficiency of future learning programs and operating methods for software and artificial intelligence.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.627-630
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• 2022

Over the past few years, fake news has become one of the most significant problems. Since it is impossible to prevent people from spreading misinformation, people should analyze the news themselves. However, this process takes some time and effort, so the routine part of this analysis should be automated. There are many different approaches to this problem, but they only analyze the text and messages, ignoring the images. The fake news problem should be solved using a complex analysis tool to reach better performance. In this paper, we propose the approach of training an Artificial Intelligence using an unsupervised learning algorithm, combined with online data parsing tools, providing independence from subjective data set. Therefore it will be more difficult to spread fake news since people could quickly check if the news or article is trustworthy.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.529-531
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• 2022

기후 위기가 대두되며 탄소중립에 많은 관심이 쏟아지고 있다. 탄소중립을 실천하기 위한 여러 가지 방법 중 도시의 수목을 관리하는 것은 탄소배출 저감, 대기질 개선 등의 환경적인 긍정적 효과를 얻을 수 있다. 수종별 온실가스 흡수량과 흡수 계수에는 차이가 있지만 도시 나무 캐노피를 증가시키면 온실가스 흡수량도 증가한다. 본 논문은 탄소정보공개 프로젝트(CDP)에서 제공하는 데이터를 기반으로 도시의 녹지 지대를 구글 지도(Google Map) 위성사진을 통해 찾아내고 지니 계수(Gini Coefficient)를 통해 도심 녹지 균형을 비교하였다. 향후 도시 수목과 녹지 데이터를 축적해 기초자료가 쌓이면 도시환경의 지표로 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.229-231
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• 2023

테크놀로지의 발달에 따라 수업에서 테크놀로지의 도입이 증가하고 있다. 테크놀로지는 학교 현장에 도입되어서, 교수-학습 형태의 변화와 교육 환경의 혁신을 이끌고 있다. 이에 따라 수업에서 테크놀로지 중요성은 더욱 증가하였으며, 예비 교사의 교육 모델에서 테크놀로지 지식을 함양하기 위한 노력이 이어졌다. 이에 따라 Mishra and Koehler(2006)의 TPACK 모델을 활용한 교육이 활발하게 이루어지고 있다. 본 연구에서는 TPACK 모델을 활용하여 예비 교사의 인공지능 융합 수업 전문성을 함양하기 위한 교육 모델을 개발하였다. 개발한 교육 모델은 브레인스토밍, 협력, 탐색(TPACK, AI, 교육과정, 교육적 맥락, 수업 사례), 수업 설계, 마이크로티칭, 수업 비평, 수업 성찰을 포함하였다. 본 연구에서 개발한 인공지능 융합 TPACK 교육 모델을 바탕으로 예비 교사의 인공지능 융합 수업 전문성 변화를 분석하는 후속 연구가 필요하다.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.113-120
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• 2019

Recently, the artificial intelligence(AI) is used in various environments in life, and research on this is being actively conducted in education. In this paper, we designed a Design-Based Research(DBR)-based AI programming education program and analyzed the application of the program for the improvement of understanding of AI in elementary school. In the artificial intelligence education program in elementary school, we should considerthat itshould be used in conjunction with software education through programming activities, rather than creating interest through simple AI experiences. The designed education program reflects the collaborative problem-solving procedures following the DBR process of analysis - design - execution - redesign, allowing the real-world problem-solving activities using AI experiences and block-type programming language. This paper also examined the examples of education programs to improve understanding of AI by using Machine Learning for Kids and to draw implications for developing and operating such a program.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.861-872
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• 2021

An efficient cost management is important for the domestic social overhead capital(SOC) based on a long lifecycle after 30 years since completion. Maintenance in South Korea have had the restrictions of consistency and suitability of decision-making by the establishment of a budget plan based on the company estimate and repair and reinforcement methods determined by the inspection and diagnosis engineers' subjective determination for each facility. To resolve this issue, the Korea Institute of Civil Engineering and Building Technology is currently in development of a methodology to propose an optimum maintenance method according to the damage of components by artificial intelligence. This study has deduced the primary factors by analyzing information generated during bridge maintenance and management as a prior step for the development of technologies, and conducted a preliminary analysis to select the optimum artificial intelligence technology.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.233-242
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• 2019

Numerous space perception studies have shown that Euclidean 3-D structure cannot be recovered from binocular stereopsis, motion, combination of stereopsis and motion, or even with combined multiple sources of optical information. Humans, however, have no difficulties to perform the task-specific action despite of poor shape perception. We have applied humans skill and capabilities to artificial intelligence and computer vision but those machines are still far behind from humans abilities. Thus, we need to understand how we perceive depth in space and what information we use to perceive 3-D structure accurately to perform. The purpose of this paper was to review space perception literatures to apply humans abilities to artificial intelligence robots more advanced in future.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.235-242
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• 2019

Recently, the use of artificial intelligence technology including deep learning has become active in various fields. In particular, several algorithms showing superior performance in object recognition and detection based on deep learning technology have been presented. In this paper, we propose the proper direction for the implementation of mobile healthcare application that user's convenience is effectively reflected. By effectively analyzing the current state of use satisfaction research for the existing fitness applications and the current status of mobile healthcare applications, we attempt to secure survival and superiority in the fitness application market, and, at the same time, to maintain and expand the existing user base.